Guojing Cong, David A. Bader
Journal of Parallel and Distributed Computing
In this paper, we introduce a new approach to Programming-by-Demonstration in which the author is allowed to explicitly edit the procedure model produced by the learning algorithm while demonstrating the task. We describe Augmentation-Based Learning, a new algorithm that supports this approach by considering both demonstrations and edits as constraints on the hypothesis space, and resolving conflicts in favor of edits. © 2007 Elsevier B.V. All rights reserved.
Guojing Cong, David A. Bader
Journal of Parallel and Distributed Computing
Rei Odaira, Jose G. Castanos, et al.
IISWC 2013
Sashi Novitasari, Takashi Fukuda, et al.
INTERSPEECH 2025
Conrad Albrecht, Jannik Schneider, et al.
CVPR 2025